The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS® Enterprise Miner™ is an extremely valuable analytical tool for making critical business and marketing decisions.
Matignon's presentation will explore the relationship and pattern that is a part of the Enterprise Miner v4.3 software with regard to SEMMA design and data mining analysis.
He will explain the various nodes in SAS® Enterprise Miner v4.3 such as the sample, explore, modify, model, and assess nodes that are a part of data mining analysis and the SEMMA methodology in SAS® Enterprise Miner v4.3- Association for Computing Machinery
Randall Matignon is Senior Clinical SAS/Microsoft Office VBA Programmer for Amgen, Inc. in San Francisco, California.
He has over twenty years of experience as a statistical programmer and applications developer in the pharmaceutical, healthcare, and biotechnology industries. Matignon also has a broad knowledge of several programming languages, including SAS, PL-SQL, and Java programming.